Adaptive robust time-of-arrival source localization algorithm based on variable step size weighted block Newton method

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초록

We propose a line-of-sight (LOS)/non-line-of-sight (NLOS) mixture source localization algorithms that utilize the weighted block Newton (WBN) and variable step size WBN (VSSWBN) method, in which the weighting matrix is determined in the form of the inverse of the squared error or as an exponential function with a negative exponent. The proposed WBN and VSSWBN algorithms converge in two iterations; thus, the required number of extra samples in the transient period is negligible. Also, we perform an analysis of the mean square error (MSE) of the weighted block Newton method. To verify the superiority of the proposed methods, the MSE performances are compared via extensive simulation.

키워드

Block Newton methodAdaptive filterWeighting matrixVariable step sizeNon-line-of-sight (NLOS)MITIGATIONGEOLOCATIONNETWORKS
제목
Adaptive robust time-of-arrival source localization algorithm based on variable step size weighted block Newton method
저자
Park, Chee-HyunChang, Joon-Hyuk
DOI
10.1186/s13638-017-0909-0
발행일
2017-07
유형
Article
저널명
Eurasip Journal on Wireless Communications and Networking
2017
1